ABSTRACT
The problem of constructing an estimator with a risk bounded by a preassigned number is considered for a linear function of mean vectors of k multi-normal distributions when covariance matrices are fully unknown. We provide a new two–stage procedure which does improve that in Aoshima (1998a). The procedure is shown to be asymptotically efficient.
